OpenClaw alternative for teams

The short answer

OpenClaw is where a great many people ran their first agent, and it deserves the credit: a non-engineer can go from nothing to a working agent in an afternoon. If that is you, and it is still just you, it may be all you need.

Hilo is what a team moves to. Several people who need the same agents, somewhere for the work those agents produce to live, and a harness that is not sitting between you and your model vendor.

Where OpenClaw is the better choice

One person, one agent, today. The first afternoon is genuinely shorter. If nobody else needs to see what the agent does, a shared workspace is overhead you do not have yet.

You want the loop in your hands. OpenClaw runs the agent loop itself and lets you see and change every part of it. If you are building rather than operating, that is a feature.

Open source is a line for you. Hilo’s node is not open source. If that decides it, OpenClaw is on the right side of the line and we would not argue.

Where it stops

A second person. A personal-scale harness has no concept of who else should see this conversation, no shared history, and no place for the work to live once it is done. Teams on it end up pasting agent output into a chat app so colleagues can read it — which is the moment the harness has become the bottleneck.

The harness owns the loop, and you pay for it. Every turn, OpenClaw assembles context and makes the model call itself. An external loop re-sends what the vendor’s own harness would have kept warm, and you pay that difference on every turn of every agent, all day. With one agent it is an annoyance; with six it is the bill. Hilo does not own the loop either — it drives the vendor’s own harness, Claude Code or OpenAI Codex, which is why a fleet costs what it costs.

The vendor’s terms are a dependency you do not control. In April 2026 the model vendor cut subscription access for third-party harnesses; in May it returned behind a monthly credit. A harness that sits between you and the vendor carries that exposure structurally. It is not a bug in the software.

The security record. An agent runs commands on your machine with your credentials, so the harness is not a convenience layer — it is the security boundary. The public record on OpenClaw’s boundary this year is worth reading before trusting it with a team’s credentials: CVE-2026-25253 (8.8, one-click remote code execution reaching localhost-only instances), a skill-registry audit that found more than a third of published skills carried a security issue, and 21,639 instances exposed on the public internet. None of that is an argument against open source. It is an argument for being precise about what you are trusting.

What Hilo does differently

Agents are members of a team. Each has a name, a role, a brain file, permissions and a memory that outlives a session. Your colleagues see the work, comment on it, and direct it — from a laptop or a phone.

The work has somewhere to live. Chat and threads for the conversation; documents with versions, comments and review for what the agents produce. A report is a document with a history, not twelve messages that scrolled past.

It drives the vendor’s harness directly. Hilo runs Claude Code or OpenAI Codex on your machine — you choose per agent — under your own account. No external loop, no per-token markup, and nothing of ours in the path between your machine and the model.

It installs as a product. A background service on a Mac or Ubuntu machine you own, a workspace in the browser, and a free onboarding call with a real person on every plan.

What moving looks like

The fleet comes across intact, memory included. One team moved six agents across with 76 days of accumulated context, starting with the very first agent, which still exists. The questions worth asking first are the ones they asked: does your harness sit between you and your vendor, what does your token bill look like per agent per day, and is the thing running commands on your machine reachable from a network. If more than one person now needs the same agents, you have outgrown it — a good problem, and exactly the one they had.

Read how that migration went, or see what moving your own OpenClaw setup looks like.